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Complex interactive responses of biodiversity to multiple environmental drivers.

Zeyu Zhang1, Jonathan M Chase2,3, Daniel Bearup4

  • 1Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China, Yunnan Key Laboratory of Soil Erosion Prevention and Green Development, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, China.

Ecology
|November 26, 2024
PubMed
Summary

Biodiversity responses to environmental changes can be complex and non-linear. Our framework explains these zig-zag patterns and driver interactions, reconciling mixed findings in ecological studies.

Keywords:
competition–colonization trade‐offdisturbancehabitat sizemultiple environmental driversresource productivityzig‐zag responses in biodiversity

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Area of Science:

  • Ecology
  • Biodiversity Science
  • Theoretical Ecology

Background:

  • Ecological research faces ongoing debate regarding biodiversity's response to environmental drivers like habitat size, resource productivity, and disturbance.
  • Existing studies often yield conflicting results, highlighting a need for a unifying theoretical framework.

Purpose of the Study:

  • To develop a theoretical framework for understanding biodiversity responses to multiple environmental drivers.
  • To investigate the separate and interactive effects of habitat size, resource productivity, and disturbance on biodiversity.

Main Methods:

  • Developed a theoretical framework based on competition-colonization dynamics in multispecies communities.
  • Employed numerical simulations and analytical arguments to analyze biodiversity patterns.

Main Results:

  • Demonstrated that the competition-colonization trade-off can cause complex, non-linear (zig-zag) responses in species richness and diversity indices along environmental gradients.
  • Identified strong interactions between drivers that significantly alter biodiversity responses.

Conclusions:

  • The proposed framework explains observed zig-zag biodiversity patterns and driver interactions, offering a new paradigm to reconcile debates in biodiversity research.
  • Provides a theoretical basis for understanding and predicting biodiversity dynamics in response to multiple environmental factors.